A1C: does one size fit all?

作者: R. M. Cohen

DOI: 10.2337/DC07-1301

关键词:

摘要: Diabetes specialists almost uniformly nod their heads when I ask whether they see patients whose A1C results don't match blood glucose monitoring data. Providers used to attribute that unreliability of the monitors or patient records, but technological advances overcame those barriers. Some mismatches can be attributed inadequate temporal distribution sampling, and will easier define as continuous is more widely, a substantial number still remain unexplained. That has led controversy role remaining sources variation in routine whom there no obvious condition known influence values, i.e., hemoglobinopathy, red cell disorder, renal failure alter either mean age circulating cells hemoglobin chromatographic properties; rare drug modifies by variety mechanisms. Without such pathology, does fact remains suggest our standard goals for glycemic control do not fit all individuals with diabetes? Is it indeed valid equate become common? There one view proposes “high glycator–low glycator” hypothesis (1–9) explain how apparently equivalent could result differing values. The based on observation while most population given have within fairly narrow expected range, are subsets who consistently higher lower value. These due corresponding alterations relative rate intracellular glycation deglycation (red cell) turnover. How large problem this widespread clinical implications? Even if only 5% …

参考文章(14)
Curt Rohlfing, Hsiao-Mei Wiedmeyer, Randie Little, V Lee Grotz, Alethea Tennill, Jack England, Richard Madsen, David Goldstein, Biological Variation of Glycohemoglobin Clinical Chemistry. ,vol. 48, pp. 1116- 1118 ,(2002) , 10.1093/CLINCHEM/48.7.1116
E. S. Kilpatrick, P. W. Maylor, B. G. Keevil, Biological variation of glycated hemoglobin. Implications for diabetes screening and monitoring. Diabetes Care. ,vol. 21, pp. 261- 264 ,(1998) , 10.2337/DIACARE.21.2.261
R. J. McCarter, J. M. Hempe, R. Gomez, S. A. Chalew, Biological Variation in HbA1c Predicts Risk of Retinopathy and Nephropathy in Type 1 Diabetes Diabetes Care. ,vol. 27, pp. 1259- 1264 ,(2004) , 10.2337/DIACARE.27.6.1259
J. S. Yudkin, R. D. Forrest, C. A. Jackson, A. J. Ryle, S. Davie, B. J. Gould, Unexplained variability of glycated haemoglobin in non-diabetic subjects not related to glycaemia. Diabetologia. ,vol. 33, pp. 208- 215 ,(1990) , 10.1007/BF00404798
Patrick J Twomey, Adie Viljoen, Timothy M Reynolds, Anthony S Wierzbicki, Biological variation in HbA1c predicts risk of retinopathy and nephropathy in type 1 diabetes: response to McCarter et al. Diabetes Care. ,vol. 28, pp. 233- 235 ,(2005) , 10.2337/DIACARE.28.1.233
S. H. Wild, G. Roglic, A. Green, R. Sicree, H. King, Biological Variation in HbA1c Predicts Risk of Retinopathy and Nephropathy in Type 1 Diabetes: Response to McCarter et al. Diabetes Care. ,vol. 27, pp. 2569- 2570 ,(2004) , 10.2337/DIACARE.27.10.2569-A
W. H. Herman, Y. Ma, G. Uwaifo, S. Haffner, S. E. Kahn, E. S. Horton, J. M. Lachin, M. G. Montez, T. Brenneman, E. Barrett-Connor, , Differences in A1C by Race and Ethnicity Among Patients With Impaired Glucose Tolerance in the Diabetes Prevention Program Diabetes Care. ,vol. 30, pp. 2453- 2457 ,(2007) , 10.2337/DC06-2003